draw_map¶
Data structure for constructing and viewing a bathymetry mesh and for draping the mesh with sidescan data
-
class
auvlib.bathy_maps.draw_map.BathyMapImage¶ Class for constructing mesh from multibeam data
-
blip(self: auvlib.bathy_maps.draw_map.BathyMapImage) → None¶ Blip the drawn bathy map
-
draw_back_scatter_map(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: List[std_data::mbes_ping]) → None¶ Draw back scatter map from mbes_ping::PingsT
-
draw_blue_pose(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: numpy.ndarray[float64[3, 1]], arg1: float) → None¶ Draw pose with a heading on top of map
-
draw_height_map(*args, **kwargs)¶ Overloaded function.
- draw_height_map(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: List[std_data::mbes_ping]) -> None
Draw height map from mbes_ping::PingsT
- draw_height_map(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: numpy.ndarray[float64[m, n]]) -> None
Draw height map from pre-computed height map matrix
-
draw_indices(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: List[std_data::mbes_ping], arg1: int) → None¶ Draw indices of the pings within the map, from mbes_ping::PingsT
-
draw_red_pose(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: numpy.ndarray[float64[3, 1]], arg1: float) → None¶ Draw pose with a heading on top of map
-
draw_targets(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: Dict[unicode, Tuple[float, float]], arg1: cv::Scalar_<double>) → None¶ Draw point targets from dict of points
-
draw_track(*args, **kwargs)¶ Overloaded function.
- draw_track(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: List[std_data::mbes_ping]) -> None
Draw vehicle track from mbes_ping::PingsT
- draw_track(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: List[numpy.ndarray[float64[3, 1]]]) -> None
Draw vehicle track from list of Vector3d
-
make_image(self: auvlib.bathy_maps.draw_map.BathyMapImage) → cv::Mat¶ Get the drawn image
-
rotate_crop_image(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: numpy.ndarray[float64[3, 1]], arg1: numpy.ndarray[float64[3, 1]], arg2: float) → None¶ Rotate and crop the image from a start and an end point, and a width in between
-
show(self: auvlib.bathy_maps.draw_map.BathyMapImage) → None¶ Show the drawn bathy map
-
write_image(self: auvlib.bathy_maps.draw_map.BathyMapImage, arg0: unicode) → None¶ Save image to file
-
-
class
auvlib.bathy_maps.draw_map.Image¶